Platform Software Engineer

🕒 5 dias atrás

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Happy Returns, a UPS Company

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2015

🛍️ Comércio Eletrônico

🛒 Varejo

eCommerce • Logistics • Retail

A Happy Returns, uma empresa da UPS, é líder em simplificar o processo de devolução de produtos tanto para clientes quanto para comerciantes. A empresa oferece uma experiência de devolução sem complicações por meio de sua inovadora rede Return Bar®, permitindo que os clientes devolvam itens sem a necessidade de caixas ou etiquetas em mais de 8. 000 locais, incluindo mais de 5. 000 lojas UPS Store. Ao combinar tecnologia com logística reversa, a Happy Returns aumenta a satisfação do cliente enquanto otimiza as operações dos varejistas, com o objetivo de criar uma experiência de devolução agradável.

Descrição

• Design, build, and maintain backend services and data pipelines using technologies such as Go, Python, and PostgreSQL • Own the implementation of well-scoped projects from design through deployment and monitoring • Work with structured and semi-structured data to support analytics, product features, and internal tools • Participate in system design discussions, contributing to decisions around data modeling, system boundaries, and scalability • Write clean, maintainable, and well-tested code, and provide thoughtful code reviews for peers • Debug production issues and improve system reliability through monitoring and observability improvements • Collaborate closely with Product, Data, and other engineering teams to translate business needs into technical solutions

🎯 Requisitos

• 3–5 years of professional experience in backend or data-oriented software engineering roles • 2-3 years of experience working with databases (e.g., PostgreSQL, MySQL, DynamoDB) including schema design and query optimization • Experience building or maintaining data pipelines or data processing workflows (ETL/ELT, batch or streaming) • Proficiency in at least one backend programming language such as Go or Python • Ability to take a problem from loosely defined requirements to a working, production-ready solution • Comfort debugging issues across services and reasoning about system behavior • Strong communication skills and ability to collaborate across teams • Bonus points if you have • Experience with cloud infrastructure (AWS) and containerization (Docker, Kubernetes) • Familiarity with modern data platforms and tooling (e.g., dbt, Redshift, BigQuery, Snowflake, Databricks) • Experience with event-driven architectures or distributed systems • Exposure to developer tooling, internal platforms, or infrastructure systems • Experience improving performance or reliability of production systems